技能详情（站内镜像，无评论）
作者：Muhammad Mazhar Saeed @0x-professor
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v0.1.0
统计：⭐ 2 · 3.4k · 65 current installs · 68 all-time installs
⭐ 2
安装量（当前） 68
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：0x-professor/agentic-workflow-automation
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code, instructions, and file list are consistent with its stated purpose of generating workflow blueprints and do not request extra credentials, network access, or surprising installs.
目的
Name/description match the included assets: a workflow guide, an OpenAI agent manifest, and a small Python script that normalizes and exports workflow blueprints. Nothing in the files suggests functionality beyond blueprint generation and export.
说明范围
SKILL.md simply directs the agent to read the guide and run the bundled script. The script only reads a user-supplied input file (if provided), enforces a 1MB input size limit, normalizes step data, and writes an output artifact in json/md/csv. There are no instructions to access unrelated system files, network endpoints, or secrets.
安装机制
There is no install spec; this is instruction-only plus a small Python script using only standard library modules. No external downloads, package installs, or archive extraction are present.
证书
The skill declares no required environment variables, no credentials, and no config paths. The code does not read environment variables or attempt to access credentials.
持久
The skill is not 'always' enabled and does not modify other skills. Model invocation is allowed (platform default), which means an agent could call this skill autonomously — this is normal for skills and not by itself problematic.
综合结论
This skill appears coherent and low-risk: it only processes an input JSON you provide and writes a chosen output file. Before running: (1) review the output path you supply to avoid overwriting sensitive files, (2) only feed trusted input files (script will read whatever path you give it up to 1MB), and (3) if you prefer to prevent autonomous agent use, restrict model-invocation or only call the skill manually. If you need higher assurance, ru…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Agentic Workflow Automation」。简介：Generate reusable multi-step agent workflow blueprints. Use for trigger/action …。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/0x-professor/agentic-workflow-automation/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: agentic-workflow-automation
description: Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff artifacts.
---
# Agentic Workflow Automation
## Overview
Build workflow blueprints that can be translated into automation platforms such as n8n or internal orchestrators.
## Workflow
1. Define workflow name, trigger, and ordered steps.
2. Normalize each step into a simple execution contract.
3. Build a blueprint with dependencies and execution order.
4. Export JSON/markdown artifacts for implementation.
## Use Bundled Resources
- Run `scripts/generate_workflow_blueprint.py` for deterministic workflow output.
- Read `references/workflow-blueprint-guide.md` for step design guidance.
## Guardrails
- Keep each step single-purpose.
- Include clear fallback behavior for failed steps.